Cem Nurlu

Worked on extraction, analysis, and modeling of large time series data to understand data relations, optimize resources, and make business decisions for large-scale companies.

Organized and led multiple quantum programming workshops, mentoring over 1000 attendees and moderating talks on various quantum computing topics.

Conducting research on semiconductor-superconductor hybrid structures to realize a topologically protected Poor Man’s Majorana qubit, involving design, nanofabrication, and experimental analysis.

Conducted research on earthquake detection and understanding using machine learning, focusing on time series analysis and feature extraction from noisy data.

Developed new circuit-based implementations for QFA algorithms recognizing the Mod problem using the Qiskit framework on noisy devices.

Trained and organized multiple Q# workshops in partnership with Microsoft, leading to the project winning the 'Bethe Change Award' by Microsoft.

Activities and societies: Following Track: Physics for Quantum Devices and Quantum Computing

Pursuing a Master's degree in Applied Physics with a focus on Physics for Quantum Devices and Quantum Computing. Engaged in the extraction, analysis, and modeling of large time series data to understand data relations and optimize resources for large-scale companies.

Grade: GPA: 3.16

Activities and societies: Co-Founder of QTurkey Quantum Student Branch, Board Member of Bogaziçi University Dance Club

Completed a Bachelor's degree in Physics, focusing on computational physics and machine learning applications in earthquake detection. Gained hands-on experience with large datasets and machine learning methods.

Grade: GPA: 99.87/100

Graduated as Valedictorian with a strong emphasis on science and mathematics. Achieved high academic performance and participated in various science-related competitions.